Software Engineer, Ramp

• Minimum 5 years of relevant work experience preferred
• Minimum 2 years of experience with workflow orchestrators like Airflow, Dagster, or Prefect
• Minimum 2 years of experience building infrastructure on AWS, GCP, or Azure
• Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases
• Intuition around analytics and machine learning
• Strong Python programming skills
• Track record of building highly-reliable infrastructure for data storage and processing

Desirable

• The Data Platform team develops and owns the systems that enable Ramp's reporting and strategic decision-making, as well as integrating machine learning models into our Risk systems and the product
• As a member of the Data Platform team, you’ll build and maintain the infrastructure that enables Ramp to realize value from data. You’ll also partner with Ramp’s analytics engineers, data scientists, and other data professionals to build internally and externally facing data products
• Our ideal candidate is excited about building systems for data collection, processing, storage, and retrieval, and is also passionate about making these systems observable, reliable, scalable, and highly automated
• Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform
• Build tools that improve the agility and data experience of Ramp's Data Scientists, Analytics Engineers, Engineers, and Operations teams
• Build the batch and streaming data pipelines critical to Ramp’s daily operations using Airflow, Snowflake, Materialize, and other data processing technologies
• Collaborate with stakeholder teams on building and productionizing analytical products and machine learning models
• Build reliable, scalable, maintainable, and cost-efficient systems across the stack